{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from matplotlib import rcParams "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-2-df7091855b67>:3: ParserWarning: Falling back to the 'python' engine because the 'c' engine does not support regex separators (separators > 1 char and different from '\\s+' are interpreted as regex); you can avoid this warning by specifying engine='python'.\n",
      "  users = pd.read_table(r'.\\users.dat', sep='::', header=None, names=unames)\n",
      "<ipython-input-2-df7091855b67>:6: ParserWarning: Falling back to the 'python' engine because the 'c' engine does not support regex separators (separators > 1 char and different from '\\s+' are interpreted as regex); you can avoid this warning by specifying engine='python'.\n",
      "  ratings=pd.read_table(r'.\\ratings.dat',sep='::',header=None, names=rnames)\n",
      "<ipython-input-2-df7091855b67>:9: ParserWarning: Falling back to the 'python' engine because the 'c' engine does not support regex separators (separators > 1 char and different from '\\s+' are interpreted as regex); you can avoid this warning by specifying engine='python'.\n",
      "  movies = pd.read_table(r'.\\movies.dat',sep='::',header=None, names=mnames)\n"
     ]
    }
   ],
   "source": [
    "pd.options.display.max_rows=10 \n",
    "unames = list(str.split('UserID::Gender::Age::Occupation::Zip-code',\"::\"))\n",
    "users = pd.read_table(r'.\\users.dat', sep='::', header=None, names=unames)\n",
    "\n",
    "rnames = list(str.split('UserID::MovieID::Rating::Timestamp','::'))\n",
    "ratings=pd.read_table(r'.\\ratings.dat',sep='::',header=None, names=rnames)\n",
    "\n",
    "mnames = list(str.split('MovieID::Title::Genres',\"::\"))\n",
    "movies = pd.read_table(r'.\\movies.dat',sep='::',header=None, names=mnames)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.merge(users,ratings)\n",
    "data = pd.merge(data,movies)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 平均分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Gender</th>\n",
       "      <th>F</th>\n",
       "      <th>M</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>$1,000,000 Duck (1971)</th>\n",
       "      <td>3.375000</td>\n",
       "      <td>2.761905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>'Night Mother (1986)</th>\n",
       "      <td>3.388889</td>\n",
       "      <td>3.352941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>'Til There Was You (1997)</th>\n",
       "      <td>2.675676</td>\n",
       "      <td>2.733333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>'burbs, The (1989)</th>\n",
       "      <td>2.793478</td>\n",
       "      <td>2.962085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...And Justice for All (1979)</th>\n",
       "      <td>3.828571</td>\n",
       "      <td>3.689024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1-900 (1994)</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10 Things I Hate About You (1999)</th>\n",
       "      <td>3.646552</td>\n",
       "      <td>3.311966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101 Dalmatians (1961)</th>\n",
       "      <td>3.791444</td>\n",
       "      <td>3.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101 Dalmatians (1996)</th>\n",
       "      <td>3.240000</td>\n",
       "      <td>2.911215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12 Angry Men (1957)</th>\n",
       "      <td>4.184397</td>\n",
       "      <td>4.328421</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Gender                                    F         M\n",
       "Title                                                \n",
       "$1,000,000 Duck (1971)             3.375000  2.761905\n",
       "'Night Mother (1986)               3.388889  3.352941\n",
       "'Til There Was You (1997)          2.675676  2.733333\n",
       "'burbs, The (1989)                 2.793478  2.962085\n",
       "...And Justice for All (1979)      3.828571  3.689024\n",
       "1-900 (1994)                       2.000000  3.000000\n",
       "10 Things I Hate About You (1999)  3.646552  3.311966\n",
       "101 Dalmatians (1961)              3.791444  3.500000\n",
       "101 Dalmatians (1996)              3.240000  2.911215\n",
       "12 Angry Men (1957)                4.184397  4.328421"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_ratings = data.pivot_table(values='Rating',index='Title',columns='Gender',aggfunc='mean')\n",
    "mean_ratings.head(10) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 不同性别最爱"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 筛选"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "ratings_by_title = data.groupby('Title').size()\n",
    "active_titles = ratings_by_title.index[ratings_by_title>=250]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "mean_ratings = mean_ratings.loc[active_titles]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Gender</th>\n",
       "      <th>F</th>\n",
       "      <th>M</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>'burbs, The (1989)</th>\n",
       "      <td>2.793478</td>\n",
       "      <td>2.962085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10 Things I Hate About You (1999)</th>\n",
       "      <td>3.646552</td>\n",
       "      <td>3.311966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101 Dalmatians (1961)</th>\n",
       "      <td>3.791444</td>\n",
       "      <td>3.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101 Dalmatians (1996)</th>\n",
       "      <td>3.240000</td>\n",
       "      <td>2.911215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12 Angry Men (1957)</th>\n",
       "      <td>4.184397</td>\n",
       "      <td>4.328421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Young Guns (1988)</th>\n",
       "      <td>3.371795</td>\n",
       "      <td>3.425620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Young Guns II (1990)</th>\n",
       "      <td>2.934783</td>\n",
       "      <td>2.904025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Young Sherlock Holmes (1985)</th>\n",
       "      <td>3.514706</td>\n",
       "      <td>3.363344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zero Effect (1998)</th>\n",
       "      <td>3.864407</td>\n",
       "      <td>3.723140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>eXistenZ (1999)</th>\n",
       "      <td>3.098592</td>\n",
       "      <td>3.289086</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1216 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Gender                                    F         M\n",
       "Title                                                \n",
       "'burbs, The (1989)                 2.793478  2.962085\n",
       "10 Things I Hate About You (1999)  3.646552  3.311966\n",
       "101 Dalmatians (1961)              3.791444  3.500000\n",
       "101 Dalmatians (1996)              3.240000  2.911215\n",
       "12 Angry Men (1957)                4.184397  4.328421\n",
       "...                                     ...       ...\n",
       "Young Guns (1988)                  3.371795  3.425620\n",
       "Young Guns II (1990)               2.934783  2.904025\n",
       "Young Sherlock Holmes (1985)       3.514706  3.363344\n",
       "Zero Effect (1998)                 3.864407  3.723140\n",
       "eXistenZ (1999)                    3.098592  3.289086\n",
       "\n",
       "[1216 rows x 2 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_ratings = mean_ratings.loc[active_titles]\n",
    "mean_ratings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 女性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Gender</th>\n",
       "      <th>F</th>\n",
       "      <th>M</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Close Shave, A (1995)</th>\n",
       "      <td>4.644444</td>\n",
       "      <td>4.473795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wrong Trousers, The (1993)</th>\n",
       "      <td>4.588235</td>\n",
       "      <td>4.478261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sunset Blvd. (a.k.a. Sunset Boulevard) (1950)</th>\n",
       "      <td>4.572650</td>\n",
       "      <td>4.464589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wallace &amp; Gromit: The Best of Aardman Animation (1996)</th>\n",
       "      <td>4.563107</td>\n",
       "      <td>4.385075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Schindler's List (1993)</th>\n",
       "      <td>4.562602</td>\n",
       "      <td>4.491415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Avengers, The (1998)</th>\n",
       "      <td>1.915254</td>\n",
       "      <td>2.017467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Speed 2: Cruise Control (1997)</th>\n",
       "      <td>1.906667</td>\n",
       "      <td>1.863014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rocky V (1990)</th>\n",
       "      <td>1.878788</td>\n",
       "      <td>2.132780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Barb Wire (1996)</th>\n",
       "      <td>1.585366</td>\n",
       "      <td>2.100386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Battlefield Earth (2000)</th>\n",
       "      <td>1.574468</td>\n",
       "      <td>1.616949</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1216 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Gender                                                     F         M\n",
       "Title                                                                 \n",
       "Close Shave, A (1995)                               4.644444  4.473795\n",
       "Wrong Trousers, The (1993)                          4.588235  4.478261\n",
       "Sunset Blvd. (a.k.a. Sunset Boulevard) (1950)       4.572650  4.464589\n",
       "Wallace & Gromit: The Best of Aardman Animation...  4.563107  4.385075\n",
       "Schindler's List (1993)                             4.562602  4.491415\n",
       "...                                                      ...       ...\n",
       "Avengers, The (1998)                                1.915254  2.017467\n",
       "Speed 2: Cruise Control (1997)                      1.906667  1.863014\n",
       "Rocky V (1990)                                      1.878788  2.132780\n",
       "Barb Wire (1996)                                    1.585366  2.100386\n",
       "Battlefield Earth (2000)                            1.574468  1.616949\n",
       "\n",
       "[1216 rows x 2 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_female_ratings = mean_ratings.sort_values(by='F', ascending=False)\n",
    "top_female_ratings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Title\n",
       "Close Shave, A (1995)                                     4.644444\n",
       "Wrong Trousers, The (1993)                                4.588235\n",
       "Sunset Blvd. (a.k.a. Sunset Boulevard) (1950)             4.572650\n",
       "Wallace & Gromit: The Best of Aardman Animation (1996)    4.563107\n",
       "Schindler's List (1993)                                   4.562602\n",
       "Shawshank Redemption, The (1994)                          4.539075\n",
       "Grand Day Out, A (1992)                                   4.537879\n",
       "To Kill a Mockingbird (1962)                              4.536667\n",
       "Creature Comforts (1990)                                  4.513889\n",
       "Usual Suspects, The (1995)                                4.513317\n",
       "Name: F, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_female_ratings10 = top_female_ratings['F'][:10] \n",
    "top_female_ratings10"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 男性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Gender</th>\n",
       "      <th>F</th>\n",
       "      <th>M</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Godfather, The (1972)</th>\n",
       "      <td>4.314700</td>\n",
       "      <td>4.583333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Seven Samurai (The Magnificent Seven) (Shichinin no samurai) (1954)</th>\n",
       "      <td>4.481132</td>\n",
       "      <td>4.576628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shawshank Redemption, The (1994)</th>\n",
       "      <td>4.539075</td>\n",
       "      <td>4.560625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Raiders of the Lost Ark (1981)</th>\n",
       "      <td>4.332168</td>\n",
       "      <td>4.520597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Usual Suspects, The (1995)</th>\n",
       "      <td>4.513317</td>\n",
       "      <td>4.518248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Speed 2: Cruise Control (1997)</th>\n",
       "      <td>1.906667</td>\n",
       "      <td>1.863014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Superman IV: The Quest for Peace (1987)</th>\n",
       "      <td>2.216216</td>\n",
       "      <td>1.847458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Super Mario Bros. (1993)</th>\n",
       "      <td>2.163636</td>\n",
       "      <td>1.820339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grease 2 (1982)</th>\n",
       "      <td>2.243478</td>\n",
       "      <td>1.792553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Battlefield Earth (2000)</th>\n",
       "      <td>1.574468</td>\n",
       "      <td>1.616949</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1216 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Gender                                                     F         M\n",
       "Title                                                                 \n",
       "Godfather, The (1972)                               4.314700  4.583333\n",
       "Seven Samurai (The Magnificent Seven) (Shichini...  4.481132  4.576628\n",
       "Shawshank Redemption, The (1994)                    4.539075  4.560625\n",
       "Raiders of the Lost Ark (1981)                      4.332168  4.520597\n",
       "Usual Suspects, The (1995)                          4.513317  4.518248\n",
       "...                                                      ...       ...\n",
       "Speed 2: Cruise Control (1997)                      1.906667  1.863014\n",
       "Superman IV: The Quest for Peace (1987)             2.216216  1.847458\n",
       "Super Mario Bros. (1993)                            2.163636  1.820339\n",
       "Grease 2 (1982)                                     2.243478  1.792553\n",
       "Battlefield Earth (2000)                            1.574468  1.616949\n",
       "\n",
       "[1216 rows x 2 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_male_ratings = mean_ratings.sort_values(by='M', ascending=False)\n",
    "top_male_ratings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Title\n",
       "Godfather, The (1972)                                                  4.583333\n",
       "Seven Samurai (The Magnificent Seven) (Shichinin no samurai) (1954)    4.576628\n",
       "Shawshank Redemption, The (1994)                                       4.560625\n",
       "Raiders of the Lost Ark (1981)                                         4.520597\n",
       "Usual Suspects, The (1995)                                             4.518248\n",
       "Star Wars: Episode IV - A New Hope (1977)                              4.495307\n",
       "Schindler's List (1993)                                                4.491415\n",
       "Wrong Trousers, The (1993)                                             4.478261\n",
       "Close Shave, A (1995)                                                  4.473795\n",
       "Rear Window (1954)                                                     4.472991\n",
       "Name: M, dtype: float64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_male_ratings10 = top_male_ratings['M'][:10] \n",
    "top_male_ratings10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([4.58333333, 4.57662835, 4.560625  , 4.52059732, 4.51824818,\n",
       "       4.49530717, 4.49141504, 4.47826087, 4.47379455, 4.47299078])"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_male_ratings10.values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.pyplot as plt # 制图\n",
    "import seaborn as sns\n",
    "from matplotlib import rcParams # 参数\n",
    "from matplotlib.cm import rainbow # 颜色\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 最受女性欢迎的十部电影及其评分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '最受女性欢迎的十部电影及其评分')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rcParams['font.size'] = 20\n",
    "plt.rcParams['font.sans-serif']=['FangSong'] #用来正常显示中文标签\n",
    "sns.barplot(top_female_ratings10.values, top_female_ratings10.index,palette=\"plasma\",alpha=0.25)\n",
    "plt.xlabel('评分')\n",
    "plt.ylabel('电影名')\n",
    "plt.title('最受女性欢迎的十部电影及其评分', {'fontsize': rcParams['axes.titlesize']})\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 最受男性欢迎的十部电影及其评分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '最受男性欢迎的十部电影及其评分')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rcParams['font.size'] = 20\n",
    "plt.rcParams['font.sans-serif']=['FangSong'] #用来正常显示中文标签\n",
    "sns.barplot(top_male_ratings10.values, top_male_ratings10.index,palette=\"Blues_r\",alpha=1)\n",
    "plt.xlabel('评分')\n",
    "plt.ylabel('电影名')\n",
    "plt.title('最受男性欢迎的十部电影及其评分', {'fontsize': rcParams['axes.titlesize']})\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 男女top10中评分差距最小的电影"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Close Shave, A (1995)',\n",
       " \"Schindler's List (1993)\",\n",
       " 'Shawshank Redemption, The (1994)',\n",
       " 'Usual Suspects, The (1995)',\n",
       " 'Wrong Trousers, The (1993)'}"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = set(top_female_ratings10.index) # 女性\n",
    "b = set(top_male_ratings10.index) # 男性\n",
    "a & b # 交集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Gender</th>\n",
       "      <th>F</th>\n",
       "      <th>M</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Usual Suspects, The (1995)</th>\n",
       "      <td>4.513317</td>\n",
       "      <td>4.518248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wrong Trousers, The (1993)</th>\n",
       "      <td>4.588235</td>\n",
       "      <td>4.478261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shawshank Redemption, The (1994)</th>\n",
       "      <td>4.539075</td>\n",
       "      <td>4.560625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Schindler's List (1993)</th>\n",
       "      <td>4.562602</td>\n",
       "      <td>4.491415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Close Shave, A (1995)</th>\n",
       "      <td>4.644444</td>\n",
       "      <td>4.473795</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Gender                                   F         M\n",
       "Title                                               \n",
       "Usual Suspects, The (1995)        4.513317  4.518248\n",
       "Wrong Trousers, The (1993)        4.588235  4.478261\n",
       "Shawshank Redemption, The (1994)  4.539075  4.560625\n",
       "Schindler's List (1993)           4.562602  4.491415\n",
       "Close Shave, A (1995)             4.644444  4.473795"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_ratings.loc[a&b]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Gender</th>\n",
       "      <th>F</th>\n",
       "      <th>M</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4.569535</td>\n",
       "      <td>4.504469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.050243</td>\n",
       "      <td>0.035852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.513317</td>\n",
       "      <td>4.473795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4.539075</td>\n",
       "      <td>4.478261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.562602</td>\n",
       "      <td>4.491415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>4.588235</td>\n",
       "      <td>4.518248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>4.644444</td>\n",
       "      <td>4.560625</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Gender         F         M\n",
       "count   5.000000  5.000000\n",
       "mean    4.569535  4.504469\n",
       "std     0.050243  0.035852\n",
       "min     4.513317  4.473795\n",
       "25%     4.539075  4.478261\n",
       "50%     4.562602  4.491415\n",
       "75%     4.588235  4.518248\n",
       "max     4.644444  4.560625"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "intersection = mean_ratings.loc[a&b]\n",
    "intersection.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x13ab27c2580>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "intersection.plot.barh()\n",
    "plt.legend(prop={'size':8}, loc='center') # 图例"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 男女top10中评分差距最小的电影"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Gender</th>\n",
       "      <th>F</th>\n",
       "      <th>M</th>\n",
       "      <th>diff</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Title</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Dirty Dancing (1987)</th>\n",
       "      <td>3.790378</td>\n",
       "      <td>2.959596</td>\n",
       "      <td>0.830782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Good, The Bad and The Ugly, The (1966)</th>\n",
       "      <td>3.494949</td>\n",
       "      <td>4.221300</td>\n",
       "      <td>0.726351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kentucky Fried Movie, The (1977)</th>\n",
       "      <td>2.878788</td>\n",
       "      <td>3.555147</td>\n",
       "      <td>0.676359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jumpin' Jack Flash (1986)</th>\n",
       "      <td>3.254717</td>\n",
       "      <td>2.578358</td>\n",
       "      <td>0.676359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dumb &amp; Dumber (1994)</th>\n",
       "      <td>2.697987</td>\n",
       "      <td>3.336595</td>\n",
       "      <td>0.638608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Longest Day, The (1962)</th>\n",
       "      <td>3.411765</td>\n",
       "      <td>4.031447</td>\n",
       "      <td>0.619682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cable Guy, The (1996)</th>\n",
       "      <td>2.250000</td>\n",
       "      <td>2.863787</td>\n",
       "      <td>0.613787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Evil Dead II (Dead By Dawn) (1987)</th>\n",
       "      <td>3.297297</td>\n",
       "      <td>3.909283</td>\n",
       "      <td>0.611985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grease (1978)</th>\n",
       "      <td>3.975265</td>\n",
       "      <td>3.367041</td>\n",
       "      <td>0.608224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hidden, The (1987)</th>\n",
       "      <td>3.137931</td>\n",
       "      <td>3.745098</td>\n",
       "      <td>0.607167</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Gender                                         F         M      diff\n",
       "Title                                                               \n",
       "Dirty Dancing (1987)                    3.790378  2.959596  0.830782\n",
       "Good, The Bad and The Ugly, The (1966)  3.494949  4.221300  0.726351\n",
       "Kentucky Fried Movie, The (1977)        2.878788  3.555147  0.676359\n",
       "Jumpin' Jack Flash (1986)               3.254717  2.578358  0.676359\n",
       "Dumb & Dumber (1994)                    2.697987  3.336595  0.638608\n",
       "Longest Day, The (1962)                 3.411765  4.031447  0.619682\n",
       "Cable Guy, The (1996)                   2.250000  2.863787  0.613787\n",
       "Evil Dead II (Dead By Dawn) (1987)      3.297297  3.909283  0.611985\n",
       "Grease (1978)                           3.975265  3.367041  0.608224\n",
       "Hidden, The (1987)                      3.137931  3.745098  0.607167"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_ratings['diff'] = np.abs(mean_ratings['M'] - mean_ratings['F'])\n",
    "sorted_by_diff = mean_ratings.sort_values(by='diff', ascending=False)[:10].copy()\n",
    "sorted_by_diff"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '性别差异最大的top10电影')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sorted_by_diff.plot.barh()\n",
    "\n",
    "plt.legend(prop={'size':8}, loc='center')\n",
    "plt.xlabel('评分')\n",
    "plt.ylabel('电影名')\n",
    "plt.title('性别差异最大的top10电影', {'fontsize': rcParams['axes.titlesize']})"
   ]
  }
 ],
 "metadata": {
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   "display_name": "Python 3",
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    "top": "111.12px",
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